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pgBadger VS Circonus

Compare pgBadger VS Circonus and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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pgBadger logo pgBadger

pgBadger is a PostgreSQL log analyzer.

Circonus logo Circonus

Circonus combines multiple monitoring, alerting, event processing, and analytics tools into one unified solution.
  • pgBadger Landing page
    Landing page //
    2019-06-09
  • Circonus Landing page
    Landing page //
    2023-07-11

pgBadger videos

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61 - pgBadger : PostgreSQL Log Analysis tool

More videos:

  • Review - Postgres Pulse: X-Ray Vision for Your PostgreSQL Queries | PgBadger

Circonus videos

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SREcon18 Europe - Circonus: Design (Failures) Case Study

Category Popularity

0-100% (relative to pgBadger and Circonus)

pgBadger

Circonus

Monitoring Tools
36 36%
Monitoring Tools
64% 64
License Management
44 44%
License Management
56% 56
Log Management
52 52%
Log Management
48% 48
Identity And Access Management
26 26%
Identity And Access Management
74% 74

User comments

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What are some alternatives?

When comparing pgBadger and Circonus, you can also consider the following products

Loggr - Loggr offers cloud-based, real-time Web Application Monitoring, which includes monitoring application events and users with ad-hoc analytics and notification system.

LogMX - LogMX is an intuitive and cross-platform tool for developers and administrators to analyze log files.

Sawmill - Sawmill is a universal log analysis/reporting tool for almost any log including web, media, email, security, network and application logs.

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

10Duke Enterprise - Powerful cloud-based licensing solution designed for fast-growing software businesses looking to scale up software licensing & minimize friction.

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